blob: a9f1d91bcf4a9b4f295d96ca12991b66e35851b5 [file] [log] [blame]
//
// Copyright © 2017 Arm Ltd. All rights reserved.
// SPDX-License-Identifier: MIT
//
#include "ClConvertFp32ToFp16Workload.hpp"
#include <cl/ClTensorHandle.hpp>
#include "ClWorkloadUtils.hpp"
namespace armnn
{
using namespace armcomputetensorutils;
static constexpr arm_compute::ConvertPolicy g_AclConvertPolicy = arm_compute::ConvertPolicy::SATURATE;
ClConvertFp32ToFp16Workload::ClConvertFp32ToFp16Workload(
const ConvertFp32ToFp16QueueDescriptor& descriptor,
const WorkloadInfo& info,
const arm_compute::CLCompileContext& clCompileContext) :
Float32ToFloat16Workload<ConvertFp32ToFp16QueueDescriptor>(descriptor, info)
{
this->m_Data.ValidateInputsOutputs("ClConvertFp32ToFp16Workload", 1, 1);
arm_compute::ICLTensor& input = static_cast<IClTensorHandle*>(this->m_Data.m_Inputs[0])->GetTensor();
arm_compute::ICLTensor& output = static_cast<IClTensorHandle*>(this->m_Data.m_Outputs[0])->GetTensor();
m_Layer.configure(clCompileContext, &input, &output, g_AclConvertPolicy, 0);
}
void ClConvertFp32ToFp16Workload::Execute() const
{
ARMNN_SCOPED_PROFILING_EVENT_CL("ClConvertFp32ToFp16Workload_Execute");
RunClFunction(m_Layer, CHECK_LOCATION());
}
arm_compute::Status ClConvertFp32ToFp16WorkloadValidate(const TensorInfo& input, const TensorInfo& output)
{
if (input.GetDataType() != DataType::Float32)
{
return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, "Input should be Float32");
}
if (output.GetDataType() != DataType::Float16)
{
return arm_compute::Status(arm_compute::ErrorCode::RUNTIME_ERROR, "Output should be Float16");
}
const arm_compute::TensorInfo aclInputInfo = BuildArmComputeTensorInfo(input);
const arm_compute::TensorInfo aclOutputInfo = BuildArmComputeTensorInfo(output);
const arm_compute::Status aclStatus = arm_compute::CLDepthConvertLayer::validate(
&aclInputInfo, &aclOutputInfo, g_AclConvertPolicy, 0);
return aclStatus;
}
} //namespace armnn